An Introduction to Statiscal Signal Processing

Helgain

【文件名】:06530@52RD_roduction to Statiscal Signal Processing.part1.rar
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【简　介】:The origins of this book lie in our earlier book Random Processes: A Mathematical Approach for Engineers, Prentice Hall, 1986. This book began as a second edition to the earlier book and the basic goal remains unchanged
— to introduce the fundamental ideas and mechanics of random processes
to engineers in a way that accurately reflects the underlying mathematics,
but does not require an extensive mathematical background and does not
belabor detailed general proofs when simple cases suffice to get the basic
ideas across. In the thirteen years since the original book was published,
however, numerous improvements in the presentation of the material have
been suggested by colleagues, students, teaching assistants, and by our own
teaching experience. The emphasis of the class shifted increasingly towards
examples and a viewpoint that better reflected the course title: An Introduction to Statistical Signal Processing. Much of the basic content of this
course and of the fundamentals of random processes can be viewed as the
analysis of statistical signal processing systems: typically one is given a
probabilistic description for one random object, which can be considered
as an input signal. An operation or mapping or filtering is applied to the
input signal (signal processing) to produce a new random object, the output
signal. Fundamental issues include the nature of the basic probabilistic
description and the derivation of the probabilistic description of the output
signal given that of the input signal and a description of the particular operation performed. A perusal of the literature in statistical signal processing,communications, control, image and video processing, speech and audio processing, medical signal processing, geophysical signal processing, and classical statistical areas of time series analysis, classification and regression,and pattern recognition show a wide variety of probabilistic models for input processes and for operations on those processes, where the operations might be deterministic or random, natural or artificial, linear or nonlinear,digital or analog, or beneficial or harmful. An introductory course focuses on the fundamentals underlying the analysis of such systems: the theories of probability, random processes, systems, and signal processing.
【目　录】:
1 Introduction
2 Probability
3 Random Objects
4 Expectation and Averages
5 Second-Order Moments
6 A Menagerie of Processes

Helgain

【文件名】:06530@52RD_roduction to Statiscal Signal Processing.part2.rar
【格　式】:rar
【大　小】:584K
【简　介】:
【目　录】: